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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
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| Paper Title: | Real-Time Air Quality Monitoring using IoT Sensors |
| Authors Name: | Akanksha Narute , Sanjana Konge , Sonali Navagire |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_202271
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| Published Paper Id: | IJRTI2504133 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | |
| Abstract: | Urban air pollution poses severe health and environmental risk, yet traditional air quality monitoring systems are often expensive and limited in coverage. With the goal of offering a practical and affordable way to measure pollution levels in cities, this research investigates the application of IOT enabled sensors for air quality monitoring. With the use of a hybrid sensor network that consists of both stationary and mobile sensor nodes placed throughout cities, this study suggests an Internet of Things-based air quality monitoring system. This study aims to give policymakers, urban planners, and the general public practical insights to reduce air pollution and enhance environmental and public health outcomes. The research’s main conclusions include improved coverage, high sensor sensitivity data correctness and calibration, etc. The methodology involves selecting IOT sensors for pollutants such as CO(Carbon Monoxide), NO2(Nitrogen Dioxide), and SO2(Sulphur Dioxide) and integrating them with microcontrollers for data acquisition. In urban pollution hotspots, sensors are placed to provide real-time monitoring and easily navigable alerts. Lastly, policymakers are assisted in putting protective measures into place by impact assessments and suggestions. Urban air quality monitoring, Smart City integration, industrial emission monitoring, etc. are examples of practical applications for this research concept. According to the study’s findings, an IoT-based air quality monitoring system offers real-time tracking of several pollutants, facilitating data-driven decision-making, dynamic adaption, and prompt alarms for better urban air quality management. In order to facilitate real-time data collection and analysis, this study introduces an Internet of Things (IoT)-based air quality monitoring system that combines inexpensive, multi-pollutant sensors (CO, NO, SO, PM2.5, PM10, and O) with wireless connectivity options like LoRAWAN, 5G, and cloud-based APIs. Furthermore, machine learning models and analytics driven by AI are used for early warning alerts, predictive insights, and automatic data calibration. |
| Keywords: | Air Quality Monitoring, IoT Sensors, Machine Learning, Smart Cities, Prediction Models. |
| Cite Article: | "Real-Time Air Quality Monitoring using IoT Sensors", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.b260-b265, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504133.pdf |
| Downloads: | 000359 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID: IJRTI2504133
Registration ID:202271
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: b260-b265 Country: Pune, Maharashtra, India Research Area: Electronics & Communication Engg. Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504133 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504133 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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